Question
Ernst & Young LLP
IN
Last activity: 30 Apr 2025 17:01 EDT
Can we use pyPegaArchiverUsingPipeline Job Scheduler in case of Direct Purging?
I am using Pega Infinity 24.2. My requirement is to Directly Purge the cases from Primary Storage.
Can enabling pyPegaArchiverUsingPipeline would also take care of Direct Purging? We understand that enabling pyArchiever & pyPurger would take care of Direct Purging. However-if we want to take advantage of in-memory pipe-line - can enabling pyPegaArchiverUsingPipeline would work instead of pyArchiever & pyPurger or pyPegaArchiverUsingPipeline is not designed to work Direct Purging?
This link does not say anything about pyPegaArchiverUsingPipeline
HCA Healthcare
US
@SUPRIYA BANERJEE In simple terms, no, you cannot use pyPegaArchiverUsingPipeline alone for direct purging. This Job Scheduler is designed to archive cases using an in-memory pipeline (for performance optimization), but it does not handle direct purging to remove cases from primary storage. For direct purging, you still need to enable pyArchiver and pyPurger. These are the schedulers responsible for archiving and then purging the case data based on the retention policy. pyPegaArchiverUsingPipeline enhances the archiving performance but is not a replacement for pyArchiver and pyPurger, and it’s not designed for direct purging alone. So, if your goal is to directly purge from primary storage, continue using pyArchiver and pyPurger.